SAFE
The core of this job — buying produce, butchering, tasting, adjusting heat, plating on someone else's timeline in someone else's kitchen — is manual work in a space no robot is deployed in. AI takes over the paperwork edges: menu ideation, recipe scaling, nutrition math, grocery lists, and dietary-restriction cross-checks. What buyers actually pay for is a trusted person in their home who knows the family's allergies, moods, and preferences and is accountable when a dinner party goes sideways.
Dipped in 2020, then grew past where it started.
Median pay $37,870 → $47,940 +1.3% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+5.1%
Percentage only. The projection counts a different population from the 1,100 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Hard to automate, and growing
The work resists current AI and the BLS projects +5.1% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~5,300 openings a year on average, including replacing people who leave.
CookDinner CookCooking ChefPrivate ChefCulinary ChefPersonal ChefHousehold CookCulinary ArtistCulinary WorkerCulinary SpecialistHoliday Food PrepperPersonal Private ChefPrivate Executive ChefCertified Personal Chef (CPC)Personal Certified Chef (PCC)
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Selecting fish at a market by smell, breaking down a whole chicken, judging when a sauce has broken and correcting it, and holding a four-course service to a host's shifting arrival time are physical and sensory judgments no software executes — only the ordering lists and macro counts have moved off the cook's plate, which is why this sits at 17 rather than mid-range.
Hands-on in uncontrolled environments You work standing in a stranger's domestic kitchen with unfamiliar burners, dull knives, a temperamental oven and a toddler underfoot, carrying groceries in and hauling stock pots — an uncontrolled, unstandardised space that no kitchen robotics pilot targets, hence 19 rather than the 13-15 of a fixed commercial line.
No licence, no signature requirement No state licences private household cooks; a ServSafe card or food handler permit is at most a hiring preference and the employer, not a licensing board, is who removes you — so 3 reflects a real but non-statutory food-safety expectation, not a protected credential.
Meaningful discretion You decide substitutions when the fishmonger is out, whether reheated stock is still safe, and how to feed six unexpected guests from what's in the pantry — genuine discretion inside a brief the employer sets, which is why this is 11 and not the 15+ of someone owning consequential calls no one else reviews.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (17/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (3/20) is whether the law requires a licensed human to sign. Trust premium (17/20) is whether buyers specifically pay for a person. Judgment and accountability (11/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 31 of this occupation's 67 points (46%).
Embodiment (19/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 75/100, still SAFE.
Growth of the agency-placed private chef market where households pay a premium explicitly for vetted, background-checked, discreet in-home staff (NDAs, live-in arrangements) — already standard practice at estate-staffing agencies serving UHNW clients; wider adoption of formal confidentiality contracts plus allergy-liability clauses makes the human-in-my-home premium contractual rather than sentimental.
If private chefs increasingly take on medically-directed cooking — renal, ketogenic-for-epilepsy, oncology, severe multi-allergen households — under a physician's or dietitian's care plan, the chef owns the on-the-spot call when an ingredient substitution or cross-contact risk arises. Watch for household employment contracts naming the chef as responsible for allergen protocol, and insurers writing household-staff liability endorsements.
Only a narrow route: some jurisdictions require a food-handler or food-manager certificate (e.g. ServSafe Manager, mandated in Texas and Illinois for commercial settings) and a few localities extend food-safety permitting to paid in-home meal preparation and cottage-food-style sales. Extension of certificate-and-permit requirements to private household cooking would raise this slightly, but a certificate is not personal professional liability with signature authority.
The limit. Already near the practical ceiling. Embodiment (19) and task_resistance (17) cannot go higher, and the paperwork tier is thin enough that automating it barely shifts the task mix. The real fragility is not AI but demand: 1,100 workers in a discretionary luxury category, exposed to household budgets and to meal-delivery substitution, not to model capability. No licensing body exists for private household cooks and none is being organized, so liability_shield stays structurally low.
| New York-Newark-Jersey City, NY-NJ | 150 | — |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 67. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.